Evidence map›Paper›PMID 34722949›Full record

ArticleExposure and health2022

Timing of Toenail Collection and Concentrations of Metals in Pancreatic Cancer. Evidence Against Disease Progression Bias.

José Pumarega, Judit Camargo, Magda Gasull, Andrew F Olshan, Amr Soliman, Yu Chen, David Richardson, Juan Alguacil, Charles Poole, Leonardo Trasande and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Exposure and health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 36% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 5 institutions in 2 countries.

José PumaregaHospital del Mar Medical Research Institute (IMIM), Barcelona, Spain.
Judit Camargo *Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain.
Magda Gasull *Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain.
Andrew F OlshanDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, USA.
Amr SolimanMedical School of the City University of New York, New York, USA.
Yu ChenDepartments of Environmental Medicine, and Population Health, New York University School of Medicine, New York, USA.
David RichardsonDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, USA.
Juan AlguacilCIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Charles PooleDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, USA.
Leonardo TrasandeDepartments of Environmental Medicine, and Population Health, New York University School of Medicine, New York, USA.
Miquel PortaHospital del Mar Medical Research Institute (IMIM), Barcelona, Spain.ORCID 0000-0003-1684-7428
PANKRAS II Study Group
University of North Carolina at Chapel Hill · USUniversitat Autònoma de Barcelona · ESNew York University · USCentro de Investigación Biomédica en Red de Epidemiología y Salud Pública · ESCity University of New York · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Trace elements such as cadmium, arsenic, zinc or selenium increase or decrease risk of a wide range of human diseases. Their levels in toenails may provide a measure of mid-term intake of trace elements for studies in humans. However, in biologically and clinically aggressive diseases as pancreatic cancer, the progression of the disease could modify such concentrations and produce reverse causation bias. The aim was to analyze the influence of specific time intervals between several clinical events and the collection of toenails upon concentrations of trace elements in patients with pancreatic cancer. Subjects were 118 incident cases of pancreatic adenocarcinoma prospectively recruited in eastern Spain. Toenails were collected at cancer diagnosis, and soon thereafter interviews were conducted. Information on cancer signs and symptoms was obtained from medical records and patient interviews. Levels of 12 trace elements were determined in toenail samples by inductively coupled plasma mass spectrometry. General linear models adjusting for potential confounders were applied to analyze relations between log concentrations of trace elements and the time intervals, including the interval from first symptom of cancer to toenail collection (iST). Toenail concentrations of the 12 trace elements were weakly or not influenced by the progression of the disease or the diagnostic procedures. Concentrations of aluminum were slightly higher in subjects with a longer iST (age, sex and stage adjusted geometric means: 11.44 vs. 7.75 µg/g for iST > 120 days vs. ≤ 40 days). There was a weak inverse relation of iST with concentrations of zinc and selenium (maximum differences of about 20 and 0.08 µg/g, respectively). Conclusions: concentrations of the trace elements were weakly or not influenced by the development of the disease before toenail collection. Only concentrations of aluminum increased slightly with increasing iST, whereas levels of zinc and selenium decreased weakly. Even in an aggressive disease as pancreatic cancer, toenail concentrations of trace elements may provide a valid measure of mid-term intake of trace elements, unaffected by clinical events and disease progression. Supplementary Information: The online version contains supplementary material available at 10.1007/s12403-021-00436-2.

Indexed as

BiomarkersPancreatic neoplasmsSymptomsToenails

Identifiers

PMID34722949
PMCPMC8533671
OpenAlexW3210830927

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.